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GECCO
2006
Springer
179views Optimization» more  GECCO 2006»
13 years 8 months ago
Comparison of multi-objective evolutionary algorithms in optimizing combinations of reinsurance contracts
Our paper concerns optimal combinations of different types of reinsurance contracts. We introduce a novel approach based on the Mean-Variance-Criterion to solve this task. Two sta...
Ingo Oesterreicher, Andreas Mitschele, Frank Schlo...
GECCO
2008
Springer
199views Optimization» more  GECCO 2008»
13 years 6 months ago
Analysis of multi-objective evolutionary algorithms to optimize dynamic data types in embedded systems
New multimedia embedded applications are increasingly dynamic, and rely on Dynamically-allocated Data Types (DDTs) to store their data. The optimization of DDTs for each target em...
José Ignacio Hidalgo, José L. Risco-...
EMO
2009
Springer
143views Optimization» more  EMO 2009»
13 years 3 months ago
Adapting to the Habitat: On the Integration of Local Search into the Predator-Prey Model
Traditionally, Predator-Prey Models--although providing a more nature-oriented approach to multi-objective optimization than many other standard Evolutionary Multi-Objective Algori...
Christian Grimme, Joachim Lepping, Alexander Papas...
GECCO
2008
Springer
111views Optimization» more  GECCO 2008»
13 years 6 months ago
Single-objective front optimization: application to rf circuit design
This paper proposes a new algorithm which promotes well distributed non-dominated fronts in the parameters space when a single-objective function is optimized. This algorithm is b...
Eduardo José Solteiro Pires, Luís Me...
CEC
2003
IEEE
13 years 8 months ago
A modified ant colony algorithm for evolutionary design of digital circuits
Evolutionary computation presents a new paradigm shift in hardware design and synthesis. According to this paradigm, hardware design is pursued by deriving inspiration from biologi...
Mostafa Abd-El-Barr, Sadiq M. Sait, Bambang A. B. ...